Jesse Kamp
Oracle Corporation
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Publication
Featured researches published by Jesse Kamp.
foundations of computer science | 2003
Jesse Kamp; David Zuckerman
We give an efficient deterministic algorithm which extracts /spl Omega/(n/sup 2/spl gamma//) almost-random bits from sources where n/sup 1/2 + /spl gamma// of the n bits are uniformly random and the rest are fixed in advance. This improves on previous constructions which required that at least n/2 of the bits be random. Our construction also gives explicit adaptive exposure-resilient functions and in turn adaptive all-or-nothing transforms. For sources where instead of bits the values are chosen from [d], for d > 2, we give an algorithm which extracts a constant fraction of the randomness. We also give bounds on extracting randomness for sources where the fixed bits can depend on the random bits.
SIAM Journal on Computing | 2006
Jesse Kamp; David Zuckerman
We give an efficient deterministic algorithm that extracts
Journal of Computer and System Sciences | 2011
Jesse Kamp; Anup Rao; Salil P. Vadhan; David Zuckerman
Omega(n^{2gamma})
international conference on data engineering | 2015
Tirthankar Lahiri; Shasank Chavan; Maria Colgan; Dinesh Das; Amit Ganesh; Michael J. Gleeson; Sanket Hase; Allison L. Holloway; Jesse Kamp; Teck-Hua Lee; Juan R. Loaiza; Neil Macnaughton; Vineet Marwah; Niloy Mukherjee; Atrayee Mullick; Sujatha Muthulingam; Vivekanandhan Raja; Marty Roth; Ekrem Soylemez; Mohamed Zait
almost-random bits from sources where
very large data bases | 2015
Niloy Mukherjee; Shasank Chavan; Maria Colgan; Dinesh Das; Michael J. Gleeson; Sanket Hase; Allison L. Holloway; Hui Jin; Jesse Kamp; Kartik Kulkarni; Tirthankar Lahiri; Juan R. Loaiza; Neil Macnaughton; Vineet Marwah; Atrayee Mullick; Andy Witkowski; Jiaqi Yan; Mohamed Zait
n^{frac{1}{2}+gamma}
very large data bases | 2015
Dinesh Das; Jiaqi Yan; Mohamed Zait; Satyanarayana R. Valluri; Nirav Vyas; Ramarajan Krishnamachari; Prashant Gaharwar; Jesse Kamp; Niloy Mukherjee
of the
very large data bases | 2016
Aurosish Mishra; Shasank Chavan; Allison L. Holloway; Tirthankar Lahiri; Zhen Hua Liu; Sunil Chakkappen; Dennis Lui; Vinita Subramanian; Ramesh Kumar; Maria Colgan; Jesse Kamp; Niloy Mukherjee; Vineet Marwah
n
international conference on data engineering | 2016
Niloy Mukherjee; Shasank Chavan; Maria Colgan; Michael J. Gleeson; Xiaoming He; Allison L. Holloway; Jesse Kamp; Kartik Kulkarni; Tirthankar Lahiri; Juan R. Loaiza; Neil Macnaughton; Atrayee Mullick; Sujatha Muthulingam; Vivekanandhan Raja; Raunak Rungta
bits are uniformly random and the rest are fixed in advance. This improves upon previous constructions, which required that at least
international conference on software engineering | 2015
Niloy Mukherjee; Kartik Kulkarni; Hui Jin; Jesse Kamp; Tirthankar Lahiri
n/2
Archive | 2014
Amit Ganesh; Shasank Chavan; Vineet Marwah; Jesse Kamp; Anindya C. Patthak; Michael J. Gleeson; Allison L. Holloway; Roger MacNicol
of the bits be random in order to extract many bits. Our construction also has applications in exposure-resilient cryptography, giving explicit adaptive exposure-resilient functions and, in turn, adaptive all-or-nothing transforms. For sources where instead of bits the values are chosen from